{"id":"W4387840873","doi":"10.1111/cns.14492","title":"The role of visual rating and automated brain volumetry in early detection and differential diagnosis of Alzheimer's disease","year":2023,"lang":"en","type":"article","venue":"CNS Neuroscience & Therapeutics","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Euroimmun Medizinische Labordiagnostika; National Institute on Aging; FUJIFILM Toyama Chemical; National Natural Science Foundation of China-Guangdong Joint Fund; Canadian Institutes of Health Research; National Institutes of Health; Servier; Eisai; Genentech; National Natural Science Foundation of China; Pfizer; Novartis Pharmaceuticals Corporation; U.S. Department of Defense; Meso Scale Diagnostics; Eisai Canada; Takeda Pharmaceutical Company; AbbVie; GE Healthcare; BioClinica; Bristol-Myers Squibb; Eli Lilly and Company; Biogen","keywords":"Receiver operating characteristic; Medicine; Diagnostic accuracy; Magnetic resonance imaging; Dementia; Youden's J statistic; Hippocampus; Atrophy; Area under the curve; Pathological; Internal medicine; Area under curve; Alzheimer's disease; Nuclear medicine; Pathology; Disease; Radiology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006949335,0.0006372681,0.000508391,0.002484953,0.0001970264,0.001036571,0.000744712,0.0006575126,0.0008569407],"category_scores_gemma":[0.01601067,0.0002299974,0.0003862582,0.0007322238,0.0004226335,0.001091906,0.0004462468,0.0003490429,0.0002988535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002755606,"about_ca_system_score_gemma":0.0003031022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001391828,"about_ca_topic_score_gemma":0.003207959,"domain_scores_codex":[0.9967245,0.002092548,0.0002197316,0.0003671139,0.0004991484,0.00009698635],"domain_scores_gemma":[0.9909303,0.004980871,0.001640906,0.0004907519,0.001643844,0.0003133872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00223912,0.0003199773,0.7821342,0.0002898474,0.0005029698,0.0001388787,0.0002180524,0.002459279,0.004804032,0.0002541814,0.0008702184,0.2057692],"study_design_scores_gemma":[0.0001620165,0.002033252,0.9369613,0.000126303,0.0003113242,0.001448806,0.000341236,0.05318106,0.003204793,0.001075982,0.001070185,0.00008384652],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9682026,0.006047518,0.02020134,0.0002332764,0.0001369386,0.0001850168,0.0004114273,0.0002457448,0.00433614],"genre_scores_gemma":[0.9909825,0.0004695678,0.008001377,0.00004814706,0.00005906882,0.00005182143,0.0001234922,0.000009941074,0.0002540915],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006949335,"threshold_uncertainty_score":0.03675205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02529793418032479,"score_gpt":0.3371882351532807,"score_spread":0.3118903009729559,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}